New Tool 'book-to-skill' Converts Technical Books into AI Agent Skills for Enhanced Learning and Reference
A new tool named 'book-to-skill' has been developed to transform technical books, document folders, or collections of sources into structured AI agent skills. This innovation aims to address common challenges faced by individuals trying to retain and utilize information from technical literature, such as forgetting content from specific chapters or struggling to find answers within large PDFs. The tool distills the content into a structured skill, including frameworks, decision rules, anti-patterns, and chapter-specific files. This structured output can then be loaded on demand by AI agents like GitHub Copilot CLI, Amp, or Claude Code, allowing users to query the content and receive answers directly from the source material, thereby reducing hallucination. The process involves a deterministic Python extractor that converts documents into clean text and metadata, followed by a spec-driven generator that creates the structured skill. 
